Survey on Early Detection of Alzheimer's Disease using Different Types of Neural Network Architecture

Deepthi Kamath; Misba Firdose Fathima; Monica K. P.; M.  Kusuma

doi:10.36079/lamintang.ijai-0801.217

Survey on Early Detection of Alzheimer's Disease using Different Types of Neural Network Architecture

Deepthi Kamath
Misba Firdose Fathima
Monica K. P.
M. Kusuma

DOI: https://doi.org/10.36079/lamintang.ijai-0801.217

Keywords: Alzheimer’s Disease, Convolutional Neural Network, Magnetic Resonance Imaging

Abstract

Alzheimer’s disease is a condition that leads to, progressive neurological brain disorder and destroys cells of the brain thereby causing an individual to lose their ability to continue daily activities and also hampers their mentality. Diagnostic symptoms are experienced by patients usually at later stages after irreversible neural damage occurs. Detection of AD is challenging because sometimes the signs that distinguish AD MRI data, can be found in MRI data of normal healthy brains of older people. Even though this disease is not completely curable, earlier detection can aid in promising treatment and prevent permanent damage to brain tissues. Age and genetics are the greatest risk factors for this disease. This paper presents the latest reports on AD detection based on different types of Neural Network Architectures.

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Author Biographies

Deepthi Kamath

Department of Information Science and Engineering. Dayananda Sagar Academy of Technology and Management, Bangalore. Karnataka, India.

Misba Firdose Fathima

Department of Information Science and Engineering. Dayananda Sagar Academy of Technology and Management, Bangalore. Karnataka, India.

Monica K. P.

Department of Information Science and Engineering. Dayananda Sagar Academy of Technology and Management, Bangalore. Karnataka, India.

M. Kusuma

Department of Information Science and Engineering. Dayananda Sagar Academy of Technology and Management, Bangalore. Karnataka, India.

This is an open access article, licensed under CC-BY-SA

Published

2021-06-22

Downloads : 340

How to Cite

[1]

D. Kamath, M. F. Fathima, M. K. P., and M. Kusuma, “Survey on Early Detection of Alzheimer’s Disease using Different Types of Neural Network Architecture”, International Journal of Artificial Intelligence, vol. 8, no. 1, pp. 25-32, Jun. 2021.

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Vol 8 No 1 (2021)

Section

Articles

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